Quantitative Ecologist in the Aquatic Group at the National Ecological 
Observatory Network (NEON).

http://www.neoninc.org/about/careers/quantitative-ecologist
Job Summary
Reporting to the Assistant Director for Aquatic Sciences the Quantitative 
Ecologist will work closely with members of the Aquatic Team in their effort to 
develop the Program and STREON experiment. Further, the Quantitative Ecologist 
will perform a variety of leadership tasks and will bring to the team a broad 
range of scientific expertise. The Quantitative Ecologist will also support 
active engagement between the Observatory and the broader science community; 
and promote scientific advancements in continental-scale ecology relevant to 
the Observatory mission. The  Aquatic team is involved in several related 
science areas, including  freshwater (surface and groundwater) and sediment 
chemistry; algae and aquatic plants, invertebrates, microbes and fish; stream 
morphology and lake bathymetry; riparian mapping; stream discharge; meteorology 
and the STREON experiment. The Quantitative Ecologist will develop 
groundbreaking approaches to statistical work aimed at developing and 
validating data algorithms in support of data product development. The 
Quantitative Ecologist will be responsible for guiding the Aquatic team 
directive in data product development and work closely with Computer 
Scientists, Information Technologists and System Engineers, to develop 
requirements in support of the roll-out of data and data products during the 
Commissioning of the Observatory. Further, the Quantitative Ecologist will 
provide guidance and statistical support in developing approaches to optimize 
ecological sampling designs and data analyses. Particular emphasis will be on 
assisting with evaluation of sampling designs and temporal sampling strategies 
for a wide range of physical, biological and chemical measurements.  The ideal 
candidate will also have the capability to develop approaches for quantifying 
and tracking uncertainty, QA/QC, calculating error budgets, and developing 
models for trend detection. This position is located in Boulder, CO at the 
Headquarters for the National Ecological Observatory Network (NEON).

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